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A Comparison and Combination of Methods for OOV Word Detection and Word Confidence Scoring.
Unsupervised Word Acquisition from Speech Using Pattern Discovery.
New Word Acquisition Using Subword Modeling.
Learning New Word Pronunciations from Spoken Examples.
Joint Learning of Phonetic Units and Word Pronunciations for ASR.
Abstract—We describe an IC that provides a local speech recognition capability for a variety of electronic devices. We start with a generic speech decoder architecture that is programmable with indus...
Two experiments examined the dynamics of lexical activation in spoken-word recognition. In both, the key materials were pairs of onset-matched picturable nouns varying in frequency. Pictures associate...
Participants’ eye movements to four objects displayed on a computer screen were monitored as the participants clicked on the object named in a spoken instruction. The display contained pictures of the...
The time course of spoken word recognition depends largely on the frequencies of a word and its competitors, or neighbors (similar-sounding words). However, variability in natural lexicons makes syste...
Eye movements were monitored as French participants followed spoken instructions to use a computer mouse to click on one of four displayed pictures. Experiment 1 demonstrated that, in the absence of g...
The creation of a pronunciation lexicon remains the most inefficient process in developing an Automatic Speech Recognizer (ASR).In this paper, we propose an unsupervised alternative – requiring no lan...

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